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ModeRNA: a tool for comparative modeling of RNA 3D structure.
Rother, Magdalena; Rother, Kristian; Puton, Tomasz; Bujnicki, Janusz M.
Afiliação
  • Rother M; Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology, ul Ks Trojdena 4, 02-109 Warsaw, Poland.
Nucleic Acids Res ; 39(10): 4007-22, 2011 May.
Article em En | MEDLINE | ID: mdl-21300639
ABSTRACT
RNA is a large group of functionally important biomacromolecules. In striking analogy to proteins, the function of RNA depends on its structure and dynamics, which in turn is encoded in the linear sequence. However, while there are numerous methods for computational prediction of protein three-dimensional (3D) structure from sequence, with comparative modeling being the most reliable approach, there are very few such methods for RNA. Here, we present ModeRNA, a software tool for comparative modeling of RNA 3D structures. As an input, ModeRNA requires a 3D structure of a template RNA molecule, and a sequence alignment between the target to be modeled and the template. It must be emphasized that a good alignment is required for successful modeling, and for large and complex RNA molecules the development of a good alignment usually requires manual adjustments of the input data based on previous expertise of the respective RNA family. ModeRNA can model post-transcriptional modifications, a functionally important feature analogous to post-translational modifications in proteins. ModeRNA can also model DNA structures or use them as templates. It is equipped with many functions for merging fragments of different nucleic acid structures into a single model and analyzing their geometry. Windows and UNIX implementations of ModeRNA with comprehensive documentation and a tutorial are freely available.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / RNA / Modelos Moleculares Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2011 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / RNA / Modelos Moleculares Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2011 Tipo de documento: Article